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Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction
10,050 datasets
GitGoodBench Lite is a subset of 900 samples for evaluating AI agents in resolving Git tasks. The dataset is evenly split across Python, Java, and Kotlin programming languages and the sample types merge conflict resolution and file-commit gram. It was created by JetBrains and last updated on November 18, 2025.
GitGoodBench Lite is a 120-sample subset for evaluating AI agent performance on Git tasks. The dataset was created by JetBrains and last updated on 2025-11-18. It contains an even split of samples across Python, Java, and Kotlin programming languages and the task types of merge conflict resolution and file-commit gram.
Sales data aggregated from an unspecified source, published on Kaggle. The dataset likely contains records of sales transactions for economic and business analysis. Specific details on volume, time period, and source organization are not provided in the available metadata.
50 multimodal trajectories of a GR1 humanoid robot performing microwave opening tasks within the IsaacLab-Arena simulation environment. Each trajectory entry integrates state, vision, language, and action data to support the development of generalist robot policies.
Over 100,000 conversation logs generated to fine-tune the Mack AI persona for IT helpdesk tasks. The dataset covers technical domains including Windows troubleshooting, SQL Server administration, driver issues, network diagnostics, and hardware debugging. It was curated by Benjamin Macklin and last updated on December 9, 2025.
Expenditure data from the Oregon Lottery's financial system includes vendor payments, account names, and amounts. The report is published by data.oregon.gov and was last updated in October 2025. It tracks financial transactions across multiple fiscal years.
50 tasks in the SMOLTRACE evaluation format, generated using AI-powered synthetic data generation tools from the TraceMind MCP Server. The dataset was created by MCP-1st-Birthday and last updated on November 27, 2025. It is designed for use with the SMOLTRACE evaluation framework.
The dataset contains textual annotations for supervised fine-tuning, reinforcement learning, and evaluation of the MMDuet2 model, a video-based Multimodal Large Language Model. It was created by author wangyueqian and last updated on December 8, 2025. The associated videos must be downloaded separately from the source links.
A fictional dataset of financial transactions published on Kaggle. The dataset's specific content, size, and creation details are not provided in the metadata. Its primary intended use appears to be for educational or demonstrative purposes in the finance domain.
LIBERO-PRO contains the bddl and init files for robot task configurations under object, relation, semantic, task, and environment perturbations. The dataset extends the original LIBERO benchmark and supports direct integration with the LIBERO-PRO framework. It was uploaded by zhouxueyang and last updated on 2025-12 03.
125,000 examples for supervised fine-tuning (SFT) were created for the Monet project. The dataset supports the paper 'Monet: Reasoning in Latent Visual Space Beyond Images and Language' and was uploaded by NOVAglow646 on Hugging Face in November 2025. It is intended for training models to reason in a latent visual space.
PanTS is a pancreatic tumor segmentation dataset released by MrGiovanni in 2025 for the NeurIPS conference. It provides medical imaging data with multi-structure context and metadata to facilitate AI-driven tumor detection, localization, and quantitative assessment.
Daily historical exchange rate data for the US Dollar to Indonesian Rupiah (USD/IDR) pair includes price information such as opening, high, low, and closing rates. The dataset covers 6,168 trading days from June 28, 2001, through December 6, 2025. It was created by Gareth Aurelius Harrison and is refreshed daily from Yahoo Finance.
NVIDIA's HelpSteer3 contains between 100,000 and 1,000,000 multilingual text records designed for training Reward Models in LLM alignment. Released in 2025, it provides preference and feedback data across 14 languages to improve model helpfulness. The dataset supports high-performance alignment, reaching 85.5% on RM-Bench.
Over 80 years of aerial imagery collected by NOAA and the US Army Corps of Engineers supports shoreline mapping. The dataset includes high-resolution true color, infrared, 4-band, black and white, and hyperspectral ortho-rectified mosaic tiles. Imagery ground sample distances range from 0.05 meters to 1 meter, with most data at 0.50 meters per pixel.
One year of 1-minute resolution solar irradiance data measured in Getafe, Madrid, Spain. The dataset includes Direct Normal Irradiance (DNI), Diffuse Horizontal Irradiance (DHI), and Global Horizontal Irradiance (GHI) values. It was collected by Mercedes Ibarra with equipment funded by grant RYC2021-033499-I and installed at the UPM premises in Getafe.
Swiss Public Inference Utility (SPIU) is a data cooperative established to support the Public AI movement in Switzerland. It aims to collectively manage and derive value from open and shared datasets and models for automation, machine learning, and artificial intelligence. The dataset was authored by 'spiu' and last updated on December 3, 2025.
Farama-Foundation's Minari provides a standardized format and collection of reference datasets for offline reinforcement learning as of January 2026. It hosts trajectories from Gymnasium environments to support training agents without active environment interaction.
A text dataset published on huggingface by author liyz1, last updated on 2026-01 06:44:01. The title suggests it contains data related to IT support for training or evaluating large language models. The dataset's specific content, size, and structure require verification after download.
Raw lensfree on-chip measurements of a phase resolution target acquired using a maskless LED-array microscope. The dataset includes raw intensity measurements, system parameters, and reconstruction code for coherent phase retrieval and illumination-angle estimation. SHANMUGAVEL, SIBI CHAKRAVARTHY contributed this data to the Texas Data Repository, last updated in December 2025.